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20242026
most citedMP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers

36 citations · 42 across the 5 of their papers we have counts for

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eess.SP2025

JaneEye: A 12-nm 2K-FPS 18.9-J/Frame Event-based Eye Tracking Accelerator

Tao Han, Ang Li, Qinyu Chen +1

Eye tracking has become a key technology for gaze-based interactions in Extended Reality (XR). However, conventional frame-based eye-tracking systems often fall short of XR's strin…

eess.SP2025★ 2 cited

OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital Predistortion

Yizhuo Wu, Ang Li, Chang Gao

Neural network (NN)-based Digital Predistortion (DPD) improves linearization for wideband radio frequency (RF) power amplifiers (PAs) but often increases the complexity of the digi…

eess.SP2024★ 36 cited

MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers

Yizhuo Wu, Ang Li, Mohammadreza Beikmirza +5

Digital Pre-Distortion (DPD) enhances signal quality in wideband RF power amplifiers (PAs). As signal bandwidths expand in modern radio systems, DPD's energy consumption increasing…